| AI图景下大数据挖掘的风险评估与应对策略 |
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| 引用本文： | 蒋洁.AI图景下大数据挖掘的风险评估与应对策略[J].现代情报,2018,38(5):147-151. |
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| 作者姓名： | 蒋洁 |
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| 作者单位： | 1. 南京信息工程大学中意网络侵权研究所, 江苏 南京 210044;2. 南京信息工程大学法政学院, 江苏 南京 210044;3. 中国人工智能产业发展联盟, 北京 100085 |
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| 基金项目： | 国家社会科学基金青年项目"云数据隐私侵权问题研究"（项目编号：13CFX083）；中国计算机协会——腾讯联合科研基金项目"人工智能的隐私侵权风险与法律应对研究"（项目编号：2017-01）；司法部国家法治与法学理论研究项目"大数据背景下的电子取证问题研究"（项目编号：15SFB3018）、江苏省高校哲社会科学重点项目"电子诉讼中数据鉴识的侵权风险及对策研究"（项目编号：2016ZDIXM021）；受到江苏省"333"人才工程资助。 |
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| 摘 要： | ［目的］揭示人工智能（AI）迭代发展中大数据挖掘的风险、成因与对策，为打造智能化协同创新生态链提供重要支撑。［方法］分类探讨AI图景下大数据挖掘中智能采集侵害数据产权、关联勾勒突破数据匿名、黑盒疏漏打破动态平等，以及算法决策冲击自由抉择等风险及其成因，提出数据挖掘的原则与策略。［结果/结论］参与者之间参差不齐的管控意识与处理能力、复杂多元的利益诉求以及缺少政策法规集中调控等导致上述风险，亟待严格遵循平等参与、优质输入、彻底拭除以及公允运转等挖掘原则，主动采取充实数据产权规定、丰富数据隐私条款、明确挖掘主体资质与公权参与标准、推动签署数据跨境统一处置方案以及健全相关救济措施等具体对策。
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| 关 键 词： | AI图景 大数据挖掘 算法决策 风险评估 |
Risks & Countermeasures of Big Data Mining under AI Picture |
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| Authors: | Jiang Jie |
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| Institution: | 1. Sino-Italian Network Infringement Institute, Nanjing University of Information Science & Technology, Nanjing 210044, China;2. School of Law and Public Affairs, Nanjing University of Information Science & Technology, Nanjing 210044, China;3. Chinese Artificial Intelligence Industry Alliance, Beijing 100085, China |
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| Abstract: | Purpose] The paper exposed risks,causes,and countermeasures of big data mining in the iterative development of artificial intelligence.It would help to build an ecology chain of intellectualized synergistic innovation.Methods] The article classified many risks in big data mining,which included infringing data property in the course of intellectualized data collection,changing data anonymization in drawing the outline of relevance,disrupting dynamic equality by the shortage and loss of the black box,striking the free will by algorithm decision-making mechanism,and suggested data mining principles and countermeasures.Results] Different controlling ideas and varied management abilities of participants,complicated and diversified interest requirements,and the correspondent lagging policies and laws,brought above risks.It was necessary to abide by big data principles,such as equal participation,high quality inputs,complete deletion,and fair running;enrich provisions for data property right,improve rules of data privacy,define the mining qualification and the entrance criteria for public powers,promote the integrative international scheme about cross-border data mining,and perfect relative remedies,etc. |
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| Keywords: | AI picture big data mining algorithm decision-making risk assessment |
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